Evidence map›Paper›PMID 22095743›Full record

ArticleProtein science : a publication of the Protein Society2012

Modeling large regions in proteins: applications to loops, termini, and folding.

Aashish N Adhikari, Jian Peng, Michael Wilde, Jinbo Xu, Karl F Freed, Tobin R Sosnick

Open access · bronzeAbstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Even with nonnative interactions, the updated folding transition states of the homologs Proteins G & L are extensive and similar.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
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  8. De novo prediction of protein folding pathways and structure using the principle of sequential stabilization.Proceedings of the National Academy of Sciences of the United States of America · 2012
    Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Aashish N AdhikariDepartment of Chemistry and James Franck Institute, The University of Chicago, Chicago, IL 60637, USA.
Jian Peng
Michael Wilde
Jinbo Xu
Karl F Freed
Tobin R Sosnick
University of Chicago · USToyota Technological Institute at Chicago · US

Funding

Kinetic studies of protein foldingR01GM055694 · NIGMS · UNIVERSITY OF CHICAGO · PI SOSNICK, TOBIN R · 2001 to 2022
$7.6M
New Computational Methods for Data-driven Protein Structure PredictionR01GM089753 · NIGMS · TOYOTA TECHNOLOGICAL INSTITUTE / CHICAGO · PI XU, JINBO · 2010 to 2023
$3.8M
Protein Structure Refinement Using a Novel MovesetR01GM081642 · NIGMS · UNIVERSITY OF CHICAGO · PI SOSNICK, TOBIN R · 2007 to 2009
$968k
FOLDING OF AN ALPHA-HELICAL COILED COILR29GM055694 · NIGMS · UNIVERSITY OF CHICAGO · PI SOSNICK, TOBIN R · 1996 to 2000
$107k
NIGMS NIH HHS GM081642NIGMS NIH HHS GM55694NIGMS NIH HHS R01 GM089753
6 · The paper itself

Abstract

Template-based methods for predicting protein structure provide models for a significant portion of the protein but often contain insertions or chain ends (InsEnds) of indeterminate conformation. The local structure prediction "problem" entails modeling the InsEnds onto the rest of the protein. A well-known limit involves predicting loops of ≤12 residues in crystal structures. However, InsEnds may contain as many as ~50 amino acids, and the template-based model of the protein itself may be imperfect. To address these challenges, we present a free modeling method for predicting the local structure of loops and large InsEnds in both crystal structures and template-based models. The approach uses single amino acid torsional angle "pivot" moves of the protein backbone with a C(β) level representation. Nevertheless, our accuracy for loops is comparable to existing methods. We also apply a more stringent test, the blind structure prediction and refinement categories of the CASP9 tournament, where we improve the quality of several homology based models by modeling InsEnds as long as 45 amino acids, sizes generally inaccessible to existing loop prediction methods. Our approach ranks as one of the best in the CASP9 refinement category that involves improving template-based models so that they can function as molecular replacement models to solve the phase problem for crystallographic structure determination.

Indexed as

AlgorithmsAmino Acid SequenceCluster AnalysisComputer SimulationModels, MolecularMolecular Sequence DataProtein ConformationProtein FoldingProteinsProtein Structure, TertiarySoftwareProteins

Identifiers

PMID22095743
PMCPMC3323786
OpenAlexW2134703371

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.